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Updated: Aug 5, 2026

Real-World M3-BREATHE: Toward Multimodal Mobile Monitoring of Behaviour, Respiration, and Exposures for Treatment and Health Evaluation
Published on: June 5, 2026
City-scale resistome-mobilome architecture and mobility-associated ARG backbones across a megacity watershed
Ningning Pi1, Xiaoyao He1, Lu Zhu1
1Key Laboratory of Environmental Chemistry and Ecotoxicology of Organic Pollutants of Chongqing, Chongqing Ecological and Environment Monitoring Center, 252 Qishan Road, Chongqing 401132, China.
Abstract:
Antimicrobial resistance (AMR) in urban watersheds is shaped by diverse anthropogenic inputs, and linking reads-level resistome-mobilome associations to local antibiotic resistance gene (ARG) genetic contexts can strengthen environmental surveillance. Here, we analyzed 63 deeply sequenced shotgun metagenomes from a Chongqing megacity watershed spanning surface water, river sediments, wastewater treatment activated sludge, livestock wastewater, and hospital wastewater. Reads-based profiling revealed strong habitat structuring of ARG subtypes and MobileElementFinder-derived mobilome families, and total ARG loads co-varied with mobile genetic element (MGE), biocide resistance, and metal resistance axes. To add sequence-resolved context, we surveyed 8,043 ARG-carrying contigs and integrated element-level MGE calls with open reading frame (ORF)-level mobility functions to define putative mobility tiers. Wastewater-impacted habitats showed higher representation of contigs carrying conjugation-related mobility signals, whereas sediments exhibited high ARG and MGE loads but weaker ARG-MGE coupling. This megacity-scale framework prioritizes mobility-associated and co-selection genetic contexts for environmental AMR monitoring and mitigation.
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